Abstract: A pump device includes a motor having a rotor and a stator, and an impeller which is disposed in a pump chamber and is integrally rotated with the rotor. The rotor includes a rotor member having a first cylindrical part and a drive magnet surrounding the first cylindrical part. A radial bearing is held on an inner side of the first cylindrical part. The drive magnet has a second cylindrical part surrounding an outer periphery of the first cylindrical part and a ring-shaped rib which protrudes from an end of the second cylindrical part to an inner side. The rotor member has a seat part, which protrudes from the first cylindrical part to an outer side and supports an end of the second cylindrical part, and a caulked part which is enlarged from the first cylindrical part to an outer side and is overlapped with the ring-shaped rib.

Abstract: A ceiling fan comprising a ceiling mount from which is suspended a motor by a downrod. The motor has a non-rotating motor shaft and a rotor rotating about the non-rotating motor shaft. Multiple fan blades are coupled to the rotor. A guy wire fitting carried by the downrod between the upper end and the lower end. The guy wire fitting having a disk with multiple elongated slots spaced circumferentially around the downrod.

Abstract: A self-locking tuning assembly includes a tuning screw and a cover plate. The tuning screw includes a head portion and a rod portion. The head portion is provided with a first threaded portion and a second threaded portion. The cover plate defines an opening adapted to the tuning screw. The opening includes a first hole portion and a second hole portion that are communicated. The head portion is at least partially located in the first hole portion. The rod portion is at least partially located in the second hole portion. A hole diameter of the second hole portion is smaller than a hole diameter of the first hole portion. The self-locking tuning assembly improves its self-locking force and installation consistency while maintaining the structural strength thereof.

Abstract: A piston pushing tool is provided, wherein the piston pushing tool includes: two arm members being connected to each other, and being relatively movable to be close to each other or to be far away from each other; and two push members configured to be inserted between two objects and connected to the two arm members respectively, the two push members being movable with the two arm members to push the two objects, at least one of the two objects being a piston.

Abstract: An outlet pipe includes a discharge pipe having an inlet end for receiving fluid and an outlet end for passing fluid, a connector attached to the discharge pipe to cover the inlet end, and a wear module arranged in a cavity limited by the discharge pipe and the connector. The connector has an interface surface for attachment to an outlet face of a valve providing the fluid, and the wear module has a conduit so that at least the discharge pipe and the conduit mutually define a flow channel passing fluid from the interface surface to the outlet end.

Abstract: Systems and methods for estimating location of features in a pipeline be based on acquiring measurements of electromagnetic signals from the plurality of electromagnetic sensors; detecting welds in walls of the pipeline based on the measurements; estimating an instantaneous velocity of the device as the device passes welds based at least in part on characteristics of the measurements of the signals from the plurality of electromagnetic sensors; and estimating position of the device in the pipeline based at least in part on the estimates of the instantaneous velocity of the device over time.

Abstract: Disclosed is a cover window using a plastic rather than a glass, and a method for manufacturing the same. The cover window, includes: a base material layer formed of a transparent plastic material; a black layer stacked on one surface of the base material layer and formed along a periphery of the base material layer; an elastomer layer formed to surround both the base material layer and the black layer; a fixing member spaced apart at a certain interval from the elastomer layer and formed on the black layer; and a rear surface coating layer stacked on a portion of a surface of the black layer between the elastomer layer and the fixing member.

Abstract: The utility model relates to the technical field of household appliances and discloses a decorative light string retractable device, wherein the retractable device comprises a retractable main component and a retractable auxiliary component connected to one end of the retractable main component through a holding component. The retractable main component and the holding component form a storage structure for the decorative light string. The retractable main component is adopted to retract the decorative light string, the holding component is adopted to hold the decorative light string when retracting the decorative light string, and the retractable auxiliary component is adopted to fix one end of the decorative light string when storing the decorative light string in the retractable main component.

Abstract: An onboard refrigerator includes: a cabinet, a drawer, and a sliding component. The drawer is slidably provided inside the cabinet, the sliding component includes a first sliding member and a second sliding member, the first sliding member is provided on the drawer, the second sliding member is provided at an inner wall surface of the cabinet, the second sliding member has a sliding surface that is sliding-fitted to the first sliding member, and the sliding surface of the second sliding member and a plane orthogonal to a height direction of the cabinet have an included angle therebetween in a first direction, the first direction being orthogonal to the height direction and a front-rear direction of the cabinet.

Abstract: Methods and systems for anomaly detection include measuring time-series data about a system using an optical sensing system. The time-series data is adapted to natural language data. One or more anomaly detection models are selected based on the natural language data and a task. An anomaly is detected in the system using the selected one or more anomaly detection models. A corrective action is performed responsive to the anomaly.

Abstract: A method for estimating a hydrogen loading induced change in a vibratory meter is provided. The method comprises determining a pressure and a temperature of hydrogen exposed to a vibratory element of the vibratory meter. The method also comprises calculating, based on the pressure and the temperature of the hydrogen, a concentration of the hydrogen in the vibratory element and adjusting a calibration coefficient of the vibratory meter based on the calculated concentration of the hydrogen in the vibratory element.

Abstract: An activation function conversion program unit and method may be configured to approximate a target activation function to a programmed activation function through machine-learning of an artificial neural network. The method may include setting up a target activation function; approximating the target activation function to a programmed activation function by machine-learning an artificial neural network; and converting the programmed activation function into a slope and offset and storing it in a lookup table. Accordingly, the computation speed and power consumption of the programmed activation function execution unit of an NPU may be optimized.

Abstract: Machine learning systems that implement neural networks typically operate in an inference mode or a training mode. In the training mode, inference operations are performed to help guide the training process. Inference mode operation typically involves forward propagation and intensive access to certain sparse matrices, encoded as a set of vectors. Back propagation and intensive access to transposed versions of the same sparse matrices provide training refinements. Generating a transposed version of a sparse matrix can consume significant additional memory and computation resources. In one embodiment, two additional encoding vectors are generated, providing efficient operations on sparse matrices and also on transposed representations of the same sparse matrices. In a neural network the efficient operations can reduce the amount of memory needed for backpropagation and reduce power consumption.

Abstract: Provided is a method for generating a lead time prediction model including: receiving input data for a final part from a user, wherein the final part is composed of one or more component parts; obtaining a first data for each of the one or more component parts, wherein the first data includes at least price data and historical lead time data; performing preprocessing on the first data to generate second data; and generating a model for generating a predicted lead time for at least one of the final part and the one or more component parts by performing learning using the second data as a training dataset.

Abstract: Methods, systems, and devices for predicting a departure time of a user from a labeled place. In some embodiments, the location sharing system accesses historical location data of the user and extracts, for one or more labeled location of the user, an attendance record of the user at the labeled place. Then, when the location sharing system receives current location data of the user, and the system determines that the user is currently at the labeled place, the user predicts a departure time of the user from the labeled place based on the attendance record of the user at the labeled places. Some embodiments share the predicted departure time of the user with the user's friends via a map GUI.

Abstract: A computing device for predicting an expected loss for a set of claim transactions is provided. The computing device predicts, at a first machine learning model, a claim frequency of the set of claim transactions over a given time period and trained using historical frequency data and based on a segment type defining a type of claim, each type of segment having peril types. The computing device also predicts, at a second machine learning model, claim severity of the set of claim transactions during the given time period, the second machine learning model trained using historical severity data and based on the segment type and the corresponding peril types. The computing device then determines the expected loss for the set of claim transactions over the given time period by applying a product of prediction of the first machine learning model and the second machine learning model.

Abstract: One example method includes obtaining, for a quantum gate of a quantum circuit, an estimate of a distribution of values expected to result from a matrix multiplication relating to the quantum gate, applying a binning process to the distribution to generate a bin table, quantizing an FP value of the matrix multiplication by mapping the bin table to a bin index that corresponds to the FP value, storing the bin index, and performing the matrix multiplication using the bin index.

Abstract: Systems and methods are provided for intelligently monitoring environments, classifying objects within such environments, detecting events within such environments, receiving and propagating input concerning image information from multiple users in a collaborative environment, identifying and responding to situational abnormalities or situations of interest based on such detections and/or user inputs.

Abstract: A method and system for predicting regional gas consumption, and a device and a cloud platform. The future gas consumption of all gas users in an entire region is predicted according to a user-specified region and date; all networked gas users in the region are extracted during a prediction process by using spatial address matching technology; and then, by means of classifying the users and sampling the users in combination with statistics, representative sample users are extracted from all the users for respective prediction, thereby reducing the computation amount and computing resource consumption, which are required for model prediction. The method and system is mounted on a cloud platform, and the cloud platform receives, by means of Internet of Things technology, gas flow data that is uploaded by gas flow metering devices of all networked gas users, and also provides an interface for interacting with the users for the outside.

Abstract: A system and method for brands and media companies who desire to collaborate with creators, customize messaging to target customers, track media efficiency, and reward user engagement, all based on their preferences and identity with the objective of driving sales and ongoing loyalty across all forms of media, live entertainment, instore experiences, sports, music and digital platforms.